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Credit Risk Modeler Jobs in Texas (NOW HIRING)

USAA

Credit Risk Analytics Manager I

San Antonio, TX · On-site +1

$103K - $197K/yr

The Opportunity As a Credit Risk Analytics Manager I, you will play a pivotal role in supporting the execution, maintenance, and enhancement of analytical models. You will be instrumental in complex ...

USAA

Credit Risk Analytics Manager I

San Antonio, TX · On-site +1

$103K - $197K/yr

The Opportunity As a Credit Risk Analytics Manager I, you will play a pivotal role in supporting the execution, maintenance, and enhancement of analytical models. You will be instrumental in complex ...

GM Financial

Risk Credit Policy Analyst II

Irving, TX · On-site

Risk Credit Policy Analyst II is responsible for analyzing credit risk exposure related to consumer ... Experience with respect to data analysis and spreadsheet modeling and/or reporting * Experience ...

USAA

Credit Risk Analytics Manager I

Plano, TX · On-site +1

$103K - $197K/yr

The Opportunity As a Credit Risk Analytics Manager I, you will play a pivotal role in supporting the execution, maintenance, and enhancement of analytical models. You will be instrumental in complex ...

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Credit Risk Modeler information

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$112K

$130.5K

$168.6K

How much do credit risk modeler jobs pay per year?

As of Jun 19, 2026, the average yearly pay for credit risk modeler in Texas is $130,506.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,200.00 and $133,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Credit Risk Modeler, and why are they important?

To thrive as a Credit Risk Modeler, you need a solid background in quantitative finance, statistics, and data analysis, often supported by a degree in mathematics, finance, or a related field. Familiarity with programming languages such as Python, R, or SAS, as well as experience with risk modeling frameworks and regulatory requirements like Basel III, is typically required. Strong analytical thinking, attention to detail, and effective communication make a candidate stand out in this role. These skills are crucial for accurately predicting credit risk, ensuring regulatory compliance, and supporting informed decision-making in financial institutions.

How does a Credit Risk Modeler typically collaborate with other departments within a financial institution?

Credit Risk Modelers frequently work alongside data scientists, underwriters, compliance teams, and business analysts to develop and refine risk assessment models. Collaboration with IT teams is common for implementing models into production systems, while regular interaction with regulatory and compliance groups ensures models meet legal standards. Effective communication with stakeholders is essential to translate technical findings into actionable business strategies, making cross-functional teamwork a key part of the role.

What does a Credit Risk Modeler do?

A Credit Risk Modeler is responsible for developing statistical models and analytical tools to assess the likelihood that borrowers will default on their loans or credit obligations. They use data analysis, statistical techniques, and machine learning algorithms to predict credit risk and help financial institutions make informed lending decisions. Their work involves gathering and cleaning data, building predictive models, validating model performance, and ensuring compliance with regulatory standards. Credit Risk Modelers play a crucial role in managing a bank's or lender's exposure to financial risk and maintaining a healthy loan portfolio.

What is the difference between Credit Risk Modeler vs Credit Analyst?

AspectCredit Risk ModelerCredit Analyst
Required CredentialsBachelor's degree in finance, economics, or related field; often certifications like FRM or CFABachelor's degree in finance, accounting, or related field; certifications like CFA are common
Work EnvironmentQuantitative teams, risk management departments, financial institutionsBank branches, lending departments, credit departments
Employer & Industry UsageFinancial institutions, banks, credit agenciesBanks, lending companies, credit bureaus

The main difference is that Credit Risk Modelers develop statistical models to assess and predict credit risk, focusing on quantitative analysis. Credit Analysts evaluate individual creditworthiness of borrowers, primarily through financial statement analysis and credit reports. Both roles require financial knowledge, but Modelers are more data and model-focused, while Analysts are more client and credit evaluation-focused.

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What job categories do people searching Credit Risk Modeler jobs in Texas look for? The top searched job categories for Credit Risk Modeler jobs in Texas are:
What are popular job titles related to Credit Risk Modeler jobs in TX? For Credit Risk Modeler jobs in TX, the most frequently searched job titles are:
Credit Risk Modeler jobs near you
Risk Analyst II - Credit Risk Analytics

Risk Analyst II - Credit Risk Analytics

GM Financial

Irving, TX • On-site

Full-time

Retirement

Posted 5 days ago

GM Financial rating

7.7

Company rating: 7.7 out of 10

Based on 38 frontline employees who took The Breakroom Quiz

73rd of 142 rated vehicle equipment hire

Job description

Job Description
Why GM Financial?
GM Financial is the wholly owned captive finance subsidiary of General Motors and is headquartered in Fort Worth, U.S. We are a global provider of auto finance solutions, with operations in North America, South America, and the Asia Pacific region. Through our long-standing relationships with auto dealers, we offer attractive retail financing and lease programs to meet the needs of each customer. We also offer commercial lending products to dealers to help them finance and grow their businesses.
At GM Financial, our team members define and shape our culture - an environment that welcomes new ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work - we thrive.
Our Purpose: We pioneer the innovations that move and connect people to what matters.
This position will be posted until filled.
Responsibilities
About the role
Risk Analyst II - Credit Risk Analytics is responsible for analyzing credit risk exposure related to consumer and commercial loan and lease acquisition activities. The position involves conducting analysis to mitigate credit risk, create and monitor credit policy, measure credit execution and credit structure. In addition, this position will be responsible for monitoring credit performance by region, credit center, and dealership.
In this role you will:
  • Utilize data mining and advanced spreadsheet skills to quantify credit risk related to loan and lease origination activities
  • Summarize findings, develop recommendations and present analyses to management in a clear, concise, convincing, and actionable format
  • Employ best practices of data analysis and validation to ensure data results are accurate
  • Assist in the creation, maintenance and monitoring of origination credit policies, procedures and lending stipulations
  • Understand how change to origination credit policy and lending environment can impact loan/lease volume as well as overall credit performance
  • Proactively monitor and report relevant changes in origination trends and portfolio performance to management
  • Conduct ad hoc research projects incorporating project design, data collection and analysis, summarization of finding, and presentation of results

Qualifications
What makes You an ideal candidate?
  • Demonstrated understanding of data warehouses, data mining, reporting, data analysis and data visualization techniques
  • Advanced with Microsoft Excel, PowerPoint, and Word
  • Experience with respect to data analysis and spreadsheet modeling and/or reporting
  • Experience with coding (SAS or SQL preferred) for data mining and manipulation
  • Querying skills and knowledge in a data warehouse environment
  • Demonstrated quantitative skills
  • Acute attention to detail
  • Effective written and verbal presentation skills
  • Ability to interact collaboratively and proactively with internal customers
  • Capable of managing multiple projects, including ability to coordinate and balance numerous tasks in a time-sensitive environment, under pressure, meeting deadlines
  • Understanding of the metrics utilized in monitoring the performance of a consumer or commercial lending portfolio is a plus
  • Subject to stressful situations.
  • Fast paced office environment.
  • Strong focus on providing quality service to internal and external customers.
  • Limited travel may be required to support business needs.

Education & Work Experience
  • 2-4 years experience working with complex Excel workbooks, querying large multi-table datasets, data analysis, and data presentation; the qualified candidate will also be able to demonstrate proficiency with the following tools: SAS and/or SQL, Microsoft Excel, PowerPoint, and Word required
  • 2-4 years experience in consumer and/or commercial loan and lease origination analysis preferred
  • Bachelor's Degree Finance, Economics, Mathematics, Business, Business Analytics, MIS, or other quantitative field; degrees in non-quantitative fields considered with adequate work experience required
  • Master's Degree Finance, Economics, Mathematics, Business, Business Analytics, MIS, or other quantitative field preferred

Additional Knowledge and Skills
Working effectively within an AI enabled environment:
  • Ability to use AI tools (e.g., Microsoft Copilot) to support daily work
  • Skills in evaluating AI outputs for accuracy, compliance, and bias
  • Experience integrating AI into workflows to improve efficiency or insights
  • Familiarity with AI assisted research, summarization, and content generation
  • Understanding of responsible AI use, including ethics and data protection

What We Offer: Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays.
Our Culture: Our team members define and shape our culture - an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work - we thrive.
Compensation: Competitive pay and bonus eligibility.
Work Life Balance: Flexible hybrid work environment, 2-days a week in office.
NOTE: We are unable to consider candidates who require visa sponsorship for this position
This position is not open to agency submissions
#GMFJobs #LI-Hybrid #LI-MO1

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